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Descriptive Statistics

cyl mpg_cyl mpg_cyl.1 mpg_cyl.2 mpg_cyl.3 mpg_cyl.4 disp_cyl disp_cyl.1
4
6
8
Source: a R mtcars dataset
Correlation: * mpg & cyl, disp & cyl
column n mean sd median trimmed mad min max range skew kurtosis se
mpg 32 20.090625 6.0269481 19.200 19.6961538 3.6500 10.400 33.900 23.500 0.6404399 2.799467 1.0654240
cyl 32 6.187500 1.7859216 6.000 6.2307692 2.0000 4.000 8.000 4.000 -0.1831287 1.319032 0.3157093
disp 32 230.721875 123.9386938 196.300 222.5230769 94.7500 71.100 472.000 400.900 0.4002724 1.910317 21.9094727
hp 32 146.687500 68.5628685 123.000 141.1923077 52.0000 52.000 335.000 283.000 0.7614356 3.052233 12.1203173
drat 32 3.596563 0.5346787 3.695 3.5792308 0.4750 2.760 4.930 2.170 0.2788734 2.435116 0.0945187
wt 32 3.217250 0.9784574 3.325 3.1526923 0.5175 1.513 5.424 3.911 0.4437855 3.172471 0.1729685
qsec 32 17.848750 1.7869432 17.710 17.8276923 0.9550 14.500 22.900 8.400 0.3870456 3.553753 0.3158899
vs 32 0.437500 0.5040161 0.000 0.4230769 0.0000 0.000 1.000 1.000 0.2519763 1.063492 0.0890983
am 32 0.406250 0.4989909 0.000 0.3846154 0.0000 0.000 1.000 1.000 0.3817709 1.145749 0.0882100
gear 32 3.687500 0.7378041 4.000 3.6153846 1.0000 3.000 5.000 2.000 0.5546495 2.056790 0.1304266
carb 32 2.812500 1.6152000 2.000 2.6538462 1.0000 1.000 8.000 7.000 1.1021304 4.536121 0.2855297

Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire or a sample of a population. Descriptive statistics are broken down into measures of central tendency and measures of variability (spread). Measures of central tendency include the mean, median and mode, while measures of variability include standard deviation, variance, minimum and maximum variables, kurtosis, and skewness.